Geoacoustic parameter estimation from bistatic and multistatic Fleet Air ASW acoustic reverberation data using Navy standard models, algorithms and da

Award Information
Agency:
Department of Defense
Branch:
Navy
Amount:
$79,867.00
Award Year:
2005
Program:
SBIR
Phase:
Phase I
Contract:
N68335-05-C-0039
Agency Tracking Number:
N043-247-0015
Solicitation Year:
2004
Solicitation Topic Code:
N04-247
Solicitation Number:
2004.3
Small Business Information
PLANNING SYSTEMS, INC.
12030 Sunrise Valley Drive, Suite 400, Reston Plaz, Reston, VA, 20191
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
072651391
Principal Investigator
 Peter Neumann
 Principal Staff Scientist
 (814) 861-2612
 pneumann@plansys.com
Business Contact
 Marc Chazan
Title: Director of Contracts
Phone: (703) 788-7759
Email: mchazan@plansys.com
Research Institution
N/A
Abstract
The ability to estimate the geoacoustic properties of the ocean bottom from measured acoustic data has progressed rapidly with advances in non-linear inversion algorithms and with improvements in computing hardware. The current approaches based upon the inversion of measured transmission loss data are not readily compatible with existing Fleet Air ASW concept of operations. Reverberation data, both monostatic and bistatic, are much more available as part of a normal Fleet Air ASW mission. This proposal will extend the proven capability of the GAIT GS (Geoacoustic Inversion Toolkit - Global Search) software to handle the inversion of monostatic and bistatic reverberation data for local estimates of the ocean bottom's geoacoustic properties (LFBL and bottom scatter parameters) using current and proposed Navy standard models and algorithms. Initially ASPM, the core model of the ASPECT TDA, will be used for the reverberation inversion. It will be paired with GABIM (Geophysical Acoustic Bottom Interaction Model), developed by APL/UW who is teaming with PSI on the proposed tasks, as a replacement for the Lambert's Law bottom scatter kernel. The goal of the proposed tasks is to rapidly develop a fully automated inversion capability for both monostatic and bistatic reverberation data using proven models and algorithms.

* information listed above is at the time of submission.

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